Triple

T14411908
Position Surface form Disambiguated ID Type / Status
Subject The Flash (2023 film) E357349 entity
Predicate screenwriter P2831 FINISHED
Object Christina Hodson NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Christina Hodson | Statement: [The Flash (2023 film), screenwriter, Christina Hodson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christina Hodson
Context triple: [The Flash (2023 film), screenwriter, Christina Hodson]
  • A. Christina Hodson chosen
    Christina Hodson is a British screenwriter known for writing major Hollywood genre films such as Bumblebee, Birds of Prey, and The Flash.
  • B. Christina McLarty
    Christina McLarty is an American entertainment reporter and television personality who has worked for outlets like Entertainment Tonight and Inside Edition.
  • C. Christine Campbell
    Christine Campbell is the neurotic yet resilient single-mom protagonist of the sitcom "The New Adventures of Old Christine," portrayed by Julia Louis-Dreyfus.
  • D. Kristina Hetherington
    Kristina Hetherington is a film editor known for her work on the psychological period drama "The Wonder."
  • E. Christina Pierson
    Christina Pierson is an individual notable enough to be recognized as a prominent bearer of the surname Pierson.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
Created at: April 10, 2026, 1:17 a.m.